OPEN AI KNOWLEDGE WIKI · ENGLISH
AI, explained as
a connected map.
Understand models, concepts, organizations, products, research, and infrastructure without getting trapped in isolated definitions. Start with a clear explanation, verify the sources, then follow the next concept.
START HERE
Five useful entry points
Understand the idea behind reusable general-purpose AI models.
Read → Understand language models Large Language Model (LLM)Learn what LLMs are and how they connect to modern AI products.
Read → Learn the core architecture TransformerSee why attention-based Transformers became the dominant foundation.
Read → Ground model answers Retrieval-Augmented Generation (RAG)Explore retrieval-augmented generation and external knowledge.
Read → Move toward deployment InferenceUnderstand how trained models are actually run in production.
Read →KNOWLEDGE MAP
Browse by topic
Models
Model families, architectures, adaptation, and generation methods.
Organizations
AI labs, companies, and research organizations.
Concepts
Core technical concepts used across modern AI systems.
Products
AI products and user-facing services.
Research
Research ideas, benchmarks, documentation, and evaluation.
Infrastructure
Hardware, inference, retrieval, and serving systems.
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English articles
Benchmark Data Contamination
The presence of evaluation examples or closely related material in training data, potentially inflating benchmark results.
HELM
Holistic Evaluation of Language Models, a framework for evaluating models across scenarios and metrics.
MMLU
Massive Multitask Language Understanding, a benchmark covering many academic and professional subject areas.
Context Window
The amount of tokenized input and generated text a model can consider within one inference context.
Vector Search
Search that retrieves items by similarity between numerical vector representations.
Embedding
A numerical vector representation used to encode semantic or structural properties of data.
Hallucination in AI
A generated statement that is unsupported, fabricated, or inconsistent with the available evidence or context.
Fine-tuning
Additional training that adapts a pre-trained model to a narrower task, domain, or behavior.
Retrieval-Augmented Generation (RAG)
A method that retrieves external information and supplies it to a generative model as context.
Claude
A family of general-purpose AI models and conversational products developed by Anthropic.
Gemini
A family of multimodal AI models and products developed by Google.
Google AI Ecosystem
A guide to separating Google's research organizations, models, products and Cloud infrastructure when reading AI announcements.